Aug 2022 – Mar 2025 · 2 yrs 7 mos · Bengaluru, Karnataka, India · Hybrid

• Leveraged advanced data science and machine learning to enhance credit risk scoring and drive profitability.
• Developed high-impact solutions through model enhancements and hyperparameter tuning.
• Implemented large scale data processing using tools like PySpark, XGBoost, and Hadoop.
• Proficient in deploying and monitoring models in production environments to ensure performance and accuracy.

Mar 2021 – Jul 2022 · 1 yr 4 mos · Hyderabad, Telangana, India · On-site

• In my role as a Machine Learning Engineer at Centific, I utilized data analysis and machine learning techniques to optimize trade promotion strategies.
• Leveraged tools like pandas, SQL, Azure ML, and GLMnet model for data-driven decisions.
• Analyzed sales data to identify patterns and improve trade promotion effectiveness.
• Presented data-driven insights to cross-functional teams to drive business decisions.

Oct 2018 – Sep 2019 · 11 mos · Hyderabad, Telangana, India · Remote

• Completed one-year training in applied machine learning tools and techniques.
• Hands-on experience in various machine learning algorithms and their implementation. Strong understanding of data pre-processing, feature engineering, model selection, evaluation and optimization techniques
• Familiar with popular machine learning libraries and frameworks such as scikit-learn, TensorFlow, Keras and PyTorch. Familiarity with cloud-based machine learning platforms such as AWS SageMaker and Azure Machine Learning Studio. Strong understanding of productionization and deployment of machine learning models in real-world scenarios.

Jul 2018 – Feb 2021 · 2 yrs 7 mos · Hyderabad, Telangana, India

• Hands-on experience in Exploratory Data Analysis and Data visualization.
• Strong experience in Data Preprocessing, Feature Engineering, Feature Selection, and Hyperparameter tuning.
• Experience in Model selection, Regression, Classification, Clustering, Deep-Learning, and Neural Networks.